Senior Engineer - Data Engineering

Bloom Energy
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Job Description

Role and Responsibilities

  • Responsible for working on scalable ETL solutions and data pipelines from different types of data sources using python
  • Investigate data to identify potential issues within ETL pipelines , notify end-users and implement adequate solutions
  • Solve challenging data and architectural problems using cutting edge technology
  • Responsible in working with business analysts across different functions to support ad-hoc analysis
  • Cross functional collaboration with data science / IT Applications teams

Skills and Experience:

  • Engineering or MCA background with 3 – 8 years of experience in data engineering / data warehousing
  • 3+ years of relevant experience
  • Strong python programming/debugging ability and clear design patterns understanding. Knowledge in C# is a plus
  • Should be excellent in the SQL skills
  • Hands on experience in Kafka
  • Implementing data wrangling, transformation and processing solutions , demonstrated experience of working with large datasets
  • Knowhow of cloud computing platforms like AWS
  • Exposure to data lakes and data warehousing concepts, SQL (Redshift, PostgreSQL), NoSQL databases
  • Exposure to developing/supporting API (REST/SOAP) based integration with various cloud vendors.
  • Good analytical skills and high attention to detail
  • Ability to be creative, versatile, efficient and productive
  • Excellent communication (written and verbal) and interpersonal skills

Company Info.

Bloom Energy

Bloom Energy is a public company headquartered in San Jose, California. It manufactures and markets solid oxide fuel cells that produce electricity on-site. The company was founded in 2001 and came out of stealth mode in 2010. It raised more than $1 billion in venture capital funding before going public in 2018.

  • Industry
    Engineering
  • No. of Employees
    1,700
  • Location
    North San Jose Innovation District, San Jose, California , USA
  • Website
  • Jobs Posted

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